Oxygen (4.7)Neon (4.6)Mars (4.5)Luna (4.4)

Details Group Tabs

Details

JAS-mine simulation project plugin for Eclipse IDE.

This plugin allows the easy creation of a new JAS-mine simulation project within the Eclipse IDE. New projects containing a simple structure that can be used as a template to build microsimulation and agent-based modelling projects that utilise the JAS-mine core and gui libraries. New projects contain a .pom files, therefore use of Maven is recommended to easily add project dependencies (in particular, this has been tested using the 'Maven Integration for Eclipse WTP' plugin).

JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community.

sophisticated regression libraries that allow a complete separation of regression specifications from the code, and permit uncertainty analysis of the model outcome by bootstrapping the estimated coefficients across different simulation runs.

JAS-mine allows to separate data representation and management, which is automatically taken care of by the simulation engine, from the implementation of processes and behavioral algorithms, which should be the primary concern of the modeler. This results in quicker, more robust and more transparent model building.

Features:

A discrete-event simulation engine, allowing for both discrete-time and continuous-time simulation modeling;

A library implementing a number of different matching methods, to match different lists of agents;

A library implementing a number of different alignment methods, to force the microsimulation outcomes meeting some exogenous aggregate targets;

A Regression library implementing a number of common econometric models, from continuous response linear regression models to binomial and multinomial logit and probit models, which includes automatic bootstrapping of the coefficients for uncertainty analysis of the model oucomes;